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The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis
BACKGROUND: Ageing is one of the principal risk factors for many chronic diseases. However, there is considerable between-person variation in the rate of ageing and individual differences in their susceptibility to disease and death. Epigenetic mechanisms may play a role in human ageing, and DNA met...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458841/ https://www.ncbi.nlm.nih.gov/pubmed/30975202 http://dx.doi.org/10.1186/s13148-019-0656-7 |
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author | Fransquet, Peter D. Wrigglesworth, Jo Woods, Robyn L. Ernst, Michael E. Ryan, Joanne |
author_facet | Fransquet, Peter D. Wrigglesworth, Jo Woods, Robyn L. Ernst, Michael E. Ryan, Joanne |
author_sort | Fransquet, Peter D. |
collection | PubMed |
description | BACKGROUND: Ageing is one of the principal risk factors for many chronic diseases. However, there is considerable between-person variation in the rate of ageing and individual differences in their susceptibility to disease and death. Epigenetic mechanisms may play a role in human ageing, and DNA methylation age biomarkers may be good predictors of age-related diseases and mortality risk. The aims of this systematic review were to identify and synthesise the evidence for an association between peripherally measured DNA methylation age and longevity, age-related disease, and mortality risk. METHODS: A systematic search was conducted in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Using relevant search terms, MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and PsychINFO databases were searched to identify articles meeting the inclusion criteria. Studies were assessed for bias using Joanna Briggs Institute critical appraisal checklists. Data was extracted from studies measuring age acceleration as a predictor of age-related diseases, mortality or longevity, and the findings for similar outcomes compared. Using Review Manager 5.3 software, two meta-analyses (one per epigenetic clock) were conducted on studies measuring all-cause mortality. RESULTS: Twenty-three relevant articles were identified, including a total of 41,607 participants. Four studies focused on ageing and longevity, 11 on age-related disease (cancer, cardiovascular disease, and dementia), and 11 on mortality. There was some, although inconsistent, evidence for an association between increased DNA methylation age and risk of disease. Meta-analyses indicated that each 5-year increase in DNA methylation age was associated an 8 to 15% increased risk of mortality. CONCLUSION: Due to the small number of studies and heterogeneity in study design and outcomes, the association between DNA methylation age and age-related disease and longevity is inconclusive. Increased epigenetic age was associated with mortality risk, but positive publication bias needs to be considered. Further research is needed to determine the extent to which DNA methylation age can be used as a clinical biomarker. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-019-0656-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6458841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64588412019-04-22 The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis Fransquet, Peter D. Wrigglesworth, Jo Woods, Robyn L. Ernst, Michael E. Ryan, Joanne Clin Epigenetics Review BACKGROUND: Ageing is one of the principal risk factors for many chronic diseases. However, there is considerable between-person variation in the rate of ageing and individual differences in their susceptibility to disease and death. Epigenetic mechanisms may play a role in human ageing, and DNA methylation age biomarkers may be good predictors of age-related diseases and mortality risk. The aims of this systematic review were to identify and synthesise the evidence for an association between peripherally measured DNA methylation age and longevity, age-related disease, and mortality risk. METHODS: A systematic search was conducted in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Using relevant search terms, MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and PsychINFO databases were searched to identify articles meeting the inclusion criteria. Studies were assessed for bias using Joanna Briggs Institute critical appraisal checklists. Data was extracted from studies measuring age acceleration as a predictor of age-related diseases, mortality or longevity, and the findings for similar outcomes compared. Using Review Manager 5.3 software, two meta-analyses (one per epigenetic clock) were conducted on studies measuring all-cause mortality. RESULTS: Twenty-three relevant articles were identified, including a total of 41,607 participants. Four studies focused on ageing and longevity, 11 on age-related disease (cancer, cardiovascular disease, and dementia), and 11 on mortality. There was some, although inconsistent, evidence for an association between increased DNA methylation age and risk of disease. Meta-analyses indicated that each 5-year increase in DNA methylation age was associated an 8 to 15% increased risk of mortality. CONCLUSION: Due to the small number of studies and heterogeneity in study design and outcomes, the association between DNA methylation age and age-related disease and longevity is inconclusive. Increased epigenetic age was associated with mortality risk, but positive publication bias needs to be considered. Further research is needed to determine the extent to which DNA methylation age can be used as a clinical biomarker. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-019-0656-7) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-11 /pmc/articles/PMC6458841/ /pubmed/30975202 http://dx.doi.org/10.1186/s13148-019-0656-7 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Fransquet, Peter D. Wrigglesworth, Jo Woods, Robyn L. Ernst, Michael E. Ryan, Joanne The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis |
title | The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis |
title_full | The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis |
title_fullStr | The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis |
title_full_unstemmed | The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis |
title_short | The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis |
title_sort | epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458841/ https://www.ncbi.nlm.nih.gov/pubmed/30975202 http://dx.doi.org/10.1186/s13148-019-0656-7 |
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